Optimizing E-Commerce Decision Making Using Web Scraping

Abstract

This research investigates the potential of web scraping techniques to optimize decision-making within the e-commerce landscape. By leveraging advanced scraping methods, the project aims to develop a framework that extracts and analyses data from various e-commerce domains. This data will encompass crucial elements like product information and pricing strategies. Through innovative data analysis techniques, the framework will uncover valuable insights and trends, empowering e-commerce businesses to make informed decisions in several key areas. These areas may include optimizing product selection, implementing dynamic pricing strategies, and crafting targeted marketing campaigns. Ultimately, this research seeks to demonstrate how web scraping, when employed ethically and responsibly, can become a powerful tool for e-commerce businesses to gain a competitive edge and enhance their overall decision-making processes.